analyze-convergence SKILL.md skillA
analyze-convergence from equinor/neqsim is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add equinor/neqsim/analyze-convergence@git:20260919.77c34a0Pins git:20260919.77c34a0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- equinor/neqsim
- Path
.github/skills/analyze-convergence/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260919.77c34a0, committed Sep 19, 2026
- Size
- 7,602 bytes
- Repository stars
- 167
- License
- Apache-2.0
Interpret flash algorithm convergence metrics, identify patterns, and produce.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Skill: Analyze Convergence
## Purpose
Interpret flash algorithm convergence metrics, identify patterns, and produce
publication-quality analysis for the Results section.
## When to Use
- After running benchmark experiments
- When comparing baseline vs candidate algorithms
- When investigating failure cases
## Analysis Procedure
### Step 1: Load and Parse Results
```python
import json
import pandas as pd
def load_results(results_dir, algorithm_name):
"""Load JSONL results into DataFrame."""
records = []
with open(f"{results_dir}/raw/{algorithm_name}_results.jsonl") as f:
for line in f:
records.append(json.loads(line))
return pd.DataFrame(records)
```
### Step 2: Convergence Rate by Family
```python
def convergence_by_family(df):
"""Calculate convergence rate per fluid family."""
return df.groupby("family").agg(
total=("converged", "count"),
converged=("converged", "sum"),
rate_pct=("converged", lambda x: round(100 * x.mean(), 2)),
median_time_ms=("cpu_time_ms", "median")
).reset_index()
```
### Step 3: Convergence Maps
Generate 2D convergence maps in (T, P) space:
```python
…Read the whole file at its exact version.
How to install
mdr add equinor/neqsim/analyze-convergence@sha256:624dd0b7580b7912The line at the top of this page pins the label git:20260919.77c34a0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_ez3xlfdv7ekor4dg)
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Versions
The registry has recorded 1 version of this file, committed on Sep 19, 2026.
Audit of the latest version
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- pass: No zero-width or bidi control characters
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- pass: No link to an exfiltration or paste host
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- pass: No instruction to send local credentials anywhere
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- pass: No prompt-injection phrasing
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Source
equinor/neqsim · 167 stars · license Apache-2.0 · pushed 2026-11-08 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_ez3xlfdv7ekor4dg GET https://markdownregistry.com/api/v1/resolve?ref=equinor/neqsim/analyze-convergence GET https://markdownregistry.com/api/v1/blob/624dd0b7580b7912b380a3d63148afdd2950cb05d9e40108d1cbe291318dd080
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